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Audify review

Free#20 of 23 in AI Podcast Generators

A self-hosted workflow for turning PDFs and office documents into editable MP3 podcasts.

7.2/10Editor score
Audify7.2 Visit Audify

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Audify is an open-source, self-hosted application for turning PDF, DOC, and DOCX documents into two-speaker podcast episodes. It extracts document content, uses OCR as a fallback for scanned PDFs, generates a host-and-guest script, and produces a downloadable MP3. The workflow suits individuals and teams that want document-based audio while retaining control over deployment, script review, voice selection, and audio generation.

Its strongest feature set is the document-to-dialogue workflow. Audify supports PDF, DOC, and DOCX ingestion, then gives users an editable script before synthesis. Users can select AI voices, generate audio, download the completed MP3, and poll asynchronous jobs during processing. This combination makes it more focused than a general audio editor: its central use case is transforming source documents into conversational episodes. The two-speaker format is useful for host-and-guest presentation, but buyers seeking other dialogue structures should look elsewhere.

Deployment and ecosystem fit are central considerations. Audify uses Docker Compose orchestration around a FastAPI microservices stack with a React and Vite frontend. It supports Ollama and OpenAI integrations, giving self-hosted users two stated LLM service paths for dialogue generation. The project is positioned as an educational and demonstration blueprint and does not recommend production deployment, so it is better suited to experimentation, internal workflows, and document-based podcast prototypes than production-critical publishing. Choose Audify when self-hosting, source-document ingestion, script editing, and MP3 export matter most; choose an alternative when you need a hosted service or a broader production-readiness posture.

Audify pros and cons

  • Where it wins
    • OCR fallback supports scanned PDFs
    • Editable two-speaker host-and-guest scripts
    • Docker deployment with OpenAI and Ollama support
  • Where it doesn't
    • Focused on two-speaker dialogue rather than broader formats
    • Requires self-hosting through Docker Compose
    • Positioned as an educational and demonstration blueprint

Audify fact sheet, pricing and score →

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